REPAIR SHOP JOB SCHEDULING WITH PARALLEL OPERATORS AND MULTIPLE CONSTRAINTS USING SIMULATED ANNEALING
- 10.1080/18756891.2013.768434How to use a DOI?
- Car sequencing, Simulated Annealing Technique, Repair Shop, Optimization, Operator allocation, Cost Minimization
Scheduling problems are generally treated as NP – complete combinatorial optimization problems which is a multi-objective and multi constraint one. Repair shop Job sequencing and operator allocation is one such NP – complete problem. For such problems, an efficient technique is required that explores a wide range of solution space. This paper deals with Simulated Annealing Technique, a Meta - heuristic to solve the complex Car Sequencing and Operator Allocation problem in a car repair shop. The algorithm is tested with several constraint settings and the solution quality exceeds the results reported in the literature with high convergence speed and accuracy. This algorithm could be considered as quite effective while other heuristic routine fails.
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- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - N. Shivasankaran AU - P. Senthil Kumar AU - G. Nallakumarasamy AU - K. Venkatesh Raja PY - 2013 DA - 2013/03/01 TI - REPAIR SHOP JOB SCHEDULING WITH PARALLEL OPERATORS AND MULTIPLE CONSTRAINTS USING SIMULATED ANNEALING JO - International Journal of Computational Intelligence Systems SP - 223 EP - 233 VL - 6 IS - 2 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2013.768434 DO - 10.1080/18756891.2013.768434 ID - Shivasankaran2013 ER -